基于相似块去噪和经验模态分解的结构光照明显微镜重建算法  被引量:3

Reconstruction Algorithm of Structured Light Illumination Microscopy Based on Similar Block Denoising and Empirical Mode Decomposition

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作  者:代臻棋 毕秀丽 范骏超 Dai Zhenqi;Bi Xiuli;Fan Junchao(Chongqing Key Laboratory of Image Cogmition,Chongqing University of Posts and Telecommun ications,Chongqing 400065,China)

机构地区:[1]重庆邮电大学图像认知重庆市重点实验室,重庆400065

出  处:《中国激光》2022年第15期109-118,共10页Chinese Journal of Lasers

基  金:国家自然科学基金(62103071)。

摘  要:结构光照明显微镜凭借其所需的激发光强度低、曝光时间短、光毒性小、无需特定的荧光探针等优点,非常适合于活细胞的超分辨率成像;然而,如果结构光照明显微镜采集的原始图像的信噪比较低,则原始图像中包含的高斯噪声和泊松噪声将导致超分辨率图像重建过程中出现参数估计准确率低、重建伪影多等问题。为了准确估计初始相位和调制深度参数并衡量估计准确率,本文提出了经验模态分解算法和分散指数指标,前者可准确估计初始相位和调制深度,后者可实现估计准确率的客观评价。同时,为了解决重建伪影的问题,本文进一步提出了基于相似块的图像去噪算法,该算法能够在保留原始图像中照明结构光特征的同时抑制图像中的噪声,进而提升参数估计的准确性,并减少重建图像中的伪影。Objective Reducing excitation intensity or exposure time is employed to decrease the phototoxicity and photobleaching in structured illumination microscopy(SIM).However,the raw images obtained under this condition have a low signal-to-noise ratio,resulting in an error estimation of parameters and reconstruction artifacts.To improve the accuracy of parameter evaluation,some modified parameter evaluation algorithms have been proposed,including the prefiltering approach and iterative and noniterative parameter evaluation approaches.However,these approaches can only enhance the accuracy of the estimated parameters,but do not demonstrate how precise they are.In other words,these algorithms cannot assess whether there is a considerable deviation from the true value.However,to suppress the reconstruction artifacts in the reconstructed image,some reconstruction algorithms have been proposed,such as spectrum filtering,TV-SIM,and Hessian-SIM.These approaches usually reconstruct the super-resolution(SR)SIM image at the beginning,and then remove the artifacts.However,this reconstruction process will change the Poisson-Gaussian noise distribution in the images.To address the above two issues,we first proposed a parameter evaluation approach based on empirical mode decomposition(EMD)in this research,which can precisely evaluate the initial phase and modulation depth.Measured with the proposed dispersion index,the accuracy of the estimated parameter can be given synchronously.Next,a denoising algorithm based on similar blocks was employed before SIM reconstruction in this study,which maintains the illumination pattern while suppressing the noise in the raw images.This predenoise process before reconstruction can enhance the accuracy of parameter evaluation and remove the artifacts.Methods This study employs empirical modal decomposition(EMD)to smooth out the frequency distribution of the e stimated initial phase and modulation depth.The specific process is as follows.First,the distribution curve of the parameter estimate was de

关 键 词:生物光学 图像处理 显微镜 重建算法 经验模态分解 分散指数 相似块去噪 

分 类 号:O436[机械工程—光学工程]

 

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